
Operations Research: An Introduction, Global Edition
Hamdy Taha(Author)
Pearson Education Limited (Publisher)
10th Edition
Published on 26. January 2017
Book
Paperback/Softback
848 pages
978-1-292-16554-7 (ISBN)
Shipment within 10-20 days
Description
For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.
Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.
provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.
With the Tenth Edition, the author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history. Based on input and submissions from OR students, professors, and practitioners, the author also includes scenarios that show how classical algorithms can be beneficial in practice. These entries are included as Aha! Moments with each dealing with stories, anecdotes, and issues in OR theory, applications, computations, and teaching methodology that can advance the understanding of fundamental OR concepts.
Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.
provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.
With the Tenth Edition, the author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history. Based on input and submissions from OR students, professors, and practitioners, the author also includes scenarios that show how classical algorithms can be beneficial in practice. These entries are included as Aha! Moments with each dealing with stories, anecdotes, and issues in OR theory, applications, computations, and teaching methodology that can advance the understanding of fundamental OR concepts.
More details
Edition
10th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 230 mm
Width: 180 mm
Thickness: 40 mm
Weight
1390 gr
ISBN-13
978-1-292-16554-7 (9781292165547)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Hamdy Taha | Hamdy A. Taha
Operations Research: An Introduction -- Global Edition
Book
04/2025
11th Edition
Pearson Education Limited
€87.99
Available immediately
Additional editions

E-Book
10/2018
10th Edition
Pearson Higher Education;Pearson
from
€60.69
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Previous edition

Book
10/2010
9th Edition
Pearson
€86.65
Article exhausted; check for reprint
Content
1. What Is Operations Research?
2. Modeling with Linear Programming
3. The Simplex Method and Sensitivity Analysis
4. Duality and Post-Optimal Analysis
5. Transportation Model and Its Variants
6. Network Models
7. Advanced Linear Programming
8. Goal Programming
9. Integer Linear Programming
10. Heuristic and Constraint Programming
11. Traveling Salesperson Problem (TSP)
12. Deterministic Dynamic Programming
13. Inventory Modeling (with Introduction to Supply Chains)
14. Review of Basic Probability
15. Decision Analysis and Games
16. Probabilistic Inventory Models
17. Markov Chains
18. Queuing Systems
19. Simulation Modeling
20. Classical Optimization Theory
21. Nonlinear Programming Algorithms
Appendix A: Statistical Tables
Appendix B: Partial Answers to Selected Problems
2. Modeling with Linear Programming
3. The Simplex Method and Sensitivity Analysis
4. Duality and Post-Optimal Analysis
5. Transportation Model and Its Variants
6. Network Models
7. Advanced Linear Programming
8. Goal Programming
9. Integer Linear Programming
10. Heuristic and Constraint Programming
11. Traveling Salesperson Problem (TSP)
12. Deterministic Dynamic Programming
13. Inventory Modeling (with Introduction to Supply Chains)
14. Review of Basic Probability
15. Decision Analysis and Games
16. Probabilistic Inventory Models
17. Markov Chains
18. Queuing Systems
19. Simulation Modeling
20. Classical Optimization Theory
21. Nonlinear Programming Algorithms
Appendix A: Statistical Tables
Appendix B: Partial Answers to Selected Problems